Paper Abstract and Keywords |
Presentation |
2023-03-14 09:00
Object Extraction Training System Using Recipes as Target Process Daiki Maeda, Kota Kunori, Tomoko Kojiri (Kansai Univ) ET2022-62 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Object-oriented programming requires programmers to design classes by identifying objects from given use cases. To identify the objects, we decompose the process specified in the use case into smaller subprocesses and identify the things that are responsible for them as objects. However, it is difficult for beginners to imagine things that do not physically exist from the process. In this study, we propose a training method to identify objects using recipes that are decomposed into small subprocesses of kitchenwares. We also propose a system that assists users in extracting appropriate kitchenwares from recipes. Kitchenwares are usually not explicitly mentioned in the recipes, but are recognizable as part of the cooking scene. In order to train to extract the objects that users can imagine in the scene, the training system asks the user to identify the object from the recipe and, at the same time, to draw the cooking scene. Then, by having them to compare the results, it gives awareness for the missing objects. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
object-oriented programming / extraction of objects / recipe / training support system / drawing cooking scene / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 431, ET2022-62, pp. 1-8, March 2023. |
Paper # |
ET2022-62 |
Date of Issue |
2023-03-07 (ET) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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ET2022-62 |
Conference Information |
Committee |
ET |
Conference Date |
2023-03-14 - 2023-03-15 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Tokushima University |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
AI Education Design, etc. |
Paper Information |
Registration To |
ET |
Conference Code |
2023-03-ET |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Object Extraction Training System Using Recipes as Target Process |
Sub Title (in English) |
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object-oriented programming |
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extraction of objects |
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recipe |
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training support system |
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drawing cooking scene |
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1st Author's Name |
Daiki Maeda |
1st Author's Affiliation |
Kansai University (Kansai Univ) |
2nd Author's Name |
Kota Kunori |
2nd Author's Affiliation |
Kansai University (Kansai Univ) |
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Tomoko Kojiri |
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Kansai University (Kansai Univ) |
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Speaker |
Author-1 |
Date Time |
2023-03-14 09:00:00 |
Presentation Time |
25 minutes |
Registration for |
ET |
Paper # |
ET2022-62 |
Volume (vol) |
vol.122 |
Number (no) |
no.431 |
Page |
pp.1-8 |
#Pages |
8 |
Date of Issue |
2023-03-07 (ET) |
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